Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale
<p>Information on the spatiotemporal characteristics of Beijing's urban–rural near-surface air temperature difference, known as the canopy layer urban heat island (UHI), is important for future urban climate management strategies. This paper investigates the variation of near-surface air...
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| Language: | English |
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Copernicus Publications
2021-09-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/21/13687/2021/acp-21-13687-2021.pdf |
| _version_ | 1818597123640262656 |
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| author | M. Biggart J. Stocker R. M. Doherty O. Wild D. Carruthers S. Grimmond Y. Han Y. Han P. Fu P. Fu S. Kotthaus S. Kotthaus |
| author_facet | M. Biggart J. Stocker R. M. Doherty O. Wild D. Carruthers S. Grimmond Y. Han Y. Han P. Fu P. Fu S. Kotthaus S. Kotthaus |
| author_sort | M. Biggart |
| collection | DOAJ |
| description | <p>Information on the spatiotemporal characteristics of Beijing's
urban–rural near-surface air temperature difference, known as the canopy
layer urban heat island (UHI), is important for future urban climate
management strategies. This paper investigates the variation of near-surface
air temperatures within Beijing at a neighbourhood-scale resolution
(<span class="inline-formula">∼</span> 100 m) during winter 2016 and summer 2017. We perform
simulations using the urban climate component of the ADMS-Urban model with
land surface parameters derived from both local climate zone classifications
and OpenStreetMap land use information. Through sensitivity simulations, the
relative impacts of surface properties and anthropogenic heat emissions on
the temporal variation of Beijing's UHI are quantified. Measured UHI
intensities between central Beijing (Institute of Atmospheric Physics) and a
rural site (Pinggu) during the Atmospheric Pollution and Human Health in a
Chinese Megacity (APHH-China) campaigns, peak during the evening at
<span class="inline-formula">∼</span> 4.5 <span class="inline-formula"><sup>∘</sup></span>C in both seasons. In winter, the nocturnal
UHI is dominated by anthropogenic heat emissions but is underestimated by
the model. Higher-resolution anthropogenic heat emissions may capture the
effects of local sources (e.g. residential buildings and adjacent major
roads). In summer, evening UHI intensities are underestimated, especially
during heatwaves. The inability to fully replicate the prolonged release of
heat stored in the urban fabric may explain this. Observed negative daytime
UHI intensities in summer are more successfully captured when surface
moisture levels in central Beijing are increased. However, the spatial
correlation between simulated air temperatures and satellite-derived land
surface temperatures is stronger with a lower urban moisture scenario. This
result suggests that near-surface air temperatures at the urban
meteorological site are likely influenced by fine-scale green spaces that
are unresolved by the available land cover data and demonstrates the
expected differences between surface and air temperatures related to canopy
layer advection. This study lays the foundations for future studies of
heat-related health risks and UHI mitigation strategies across Beijing and
other megacities.</p> |
| first_indexed | 2024-12-16T11:42:48Z |
| format | Article |
| id | doaj.art-e6322a487d404f068d3ff7bfde8254fc |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-16T11:42:48Z |
| publishDate | 2021-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-e6322a487d404f068d3ff7bfde8254fc2022-12-21T22:32:54ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-09-0121136871371110.5194/acp-21-13687-2021Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scaleM. Biggart0J. Stocker1R. M. Doherty2O. Wild3D. Carruthers4S. Grimmond5Y. Han6Y. Han7P. Fu8P. Fu9S. Kotthaus10S. Kotthaus11School of Geosciences, The University of Edinburgh, Edinburgh, UKCambridge Environmental Research Consultants, Cambridge, UKSchool of Geosciences, The University of Edinburgh, Edinburgh, UKLancaster Environment Centre, Lancaster University, Lancaster, UKCambridge Environmental Research Consultants, Cambridge, UKDepartment of Meteorology, University of Reading, Reading, UKState Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environment Sciences and Engineering, Peking University, Beijing, ChinaEnvironmental Research Group, MRC Centre for Environment and Health, King's College London, London, UKInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaInstitute of Surface-Earth System Science, Tianjin University, Tianjin, ChinaDepartment of Meteorology, University of Reading, Reading, UKInstitut Pierre Simon Laplace, École Polytechnique, Palaiseau, France<p>Information on the spatiotemporal characteristics of Beijing's urban–rural near-surface air temperature difference, known as the canopy layer urban heat island (UHI), is important for future urban climate management strategies. This paper investigates the variation of near-surface air temperatures within Beijing at a neighbourhood-scale resolution (<span class="inline-formula">∼</span> 100 m) during winter 2016 and summer 2017. We perform simulations using the urban climate component of the ADMS-Urban model with land surface parameters derived from both local climate zone classifications and OpenStreetMap land use information. Through sensitivity simulations, the relative impacts of surface properties and anthropogenic heat emissions on the temporal variation of Beijing's UHI are quantified. Measured UHI intensities between central Beijing (Institute of Atmospheric Physics) and a rural site (Pinggu) during the Atmospheric Pollution and Human Health in a Chinese Megacity (APHH-China) campaigns, peak during the evening at <span class="inline-formula">∼</span> 4.5 <span class="inline-formula"><sup>∘</sup></span>C in both seasons. In winter, the nocturnal UHI is dominated by anthropogenic heat emissions but is underestimated by the model. Higher-resolution anthropogenic heat emissions may capture the effects of local sources (e.g. residential buildings and adjacent major roads). In summer, evening UHI intensities are underestimated, especially during heatwaves. The inability to fully replicate the prolonged release of heat stored in the urban fabric may explain this. Observed negative daytime UHI intensities in summer are more successfully captured when surface moisture levels in central Beijing are increased. However, the spatial correlation between simulated air temperatures and satellite-derived land surface temperatures is stronger with a lower urban moisture scenario. This result suggests that near-surface air temperatures at the urban meteorological site are likely influenced by fine-scale green spaces that are unresolved by the available land cover data and demonstrates the expected differences between surface and air temperatures related to canopy layer advection. This study lays the foundations for future studies of heat-related health risks and UHI mitigation strategies across Beijing and other megacities.</p>https://acp.copernicus.org/articles/21/13687/2021/acp-21-13687-2021.pdf |
| spellingShingle | M. Biggart J. Stocker R. M. Doherty O. Wild D. Carruthers S. Grimmond Y. Han Y. Han P. Fu P. Fu S. Kotthaus S. Kotthaus Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale Atmospheric Chemistry and Physics |
| title | Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale |
| title_full | Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale |
| title_fullStr | Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale |
| title_full_unstemmed | Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale |
| title_short | Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale |
| title_sort | modelling spatiotemporal variations of the canopy layer urban heat island in beijing at the neighbourhood scale |
| url | https://acp.copernicus.org/articles/21/13687/2021/acp-21-13687-2021.pdf |
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